2 часа назад
Staff AI Platform Engineer
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff AI Platform Engineer (AI infrastructure): Architecting and building the distributed platform that powers production AI agents, including orchestration, execution, memory, tool calling, workflow coordination, and communication with an accent on reliability, scalability, security, and developer experience. Focus on designing event-driven systems and AI runtime services, translating emerging AI capabilities into production features, and leading complex cross-functional initiatives.
Location: San Francisco, CA; on-site
Company
is building an end-to-end infrastructure platform for developers to ship and scale agentic products, backed by $55M in funding.
What you will do
- Architect the core platform powering AI agents in production.
- Design distributed systems for agent orchestration, execution, memory, tool calling, workflow coordination, and communication.
- Build reliable infrastructure for safe and efficient operation across enterprise environments.
- Drive architecture decisions across backend systems, APIs, infrastructure, and AI runtime services.
- Establish standards for scalability, observability, security, and operational excellence.
- Partner with product and engineering leadership, mentor engineers, and lead complex initiatives through production.
Requirements
- 8+ years of experience building large-scale backend systems, distributed systems, or developer platforms.
- Staff or Principal Engineer-level technical leadership experience, or equivalent scope and impact.
- Strong programming skills in Python, Go, TypeScript, or similar languages.
- Experience building reliable, scalable developer platforms, SDKs, or API-first products.
- Experience with modern AI systems, including LLMs, tool calling, structured outputs, retrieval, or agentic workflows.
- Experience with event-driven architectures, workflow engines, or distributed execution systems.
Nice to have
- Experience building production AI agent platforms or orchestration frameworks.
- Familiarity with LangGraph, OpenAI Agents SDK, CrewAI, AutoGen, Temporal, or similar technologies.
- Experience with vector databases, retrieval systems, knowledge infrastructure, or LLM serving technologies such as vLLM, SGLang, or TensorRT-LLM.
- Contributions to open-source infrastructure or AI projects.
Culture & Benefits
- Opportunity to join at an early stage and influence architecture, engineering culture, and product direction.
- Work alongside a team with deep infrastructure and payments experience.
- Build foundational technology for the next generation of AI applications.
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